Abstract
In order to perform planning studies on HV (40-l50 kV), MV and LV networks, ENEL (Italian Electricity Board) has developed a computation system composed of a set of integrated programs which utilize the information stored in several data bases, with the aim of: providing energy consumption forecasts for each area of the country; transfering consumption for each area to the distribution network nodes and to evaluating the electric demand by using a statistical power/energy correlation model; analyzing several network development alternatives and selecting the optimum development plan by comparing the overall costs (investments, operation, risk). In order to make its utilization by planners easier, the computation system will be operated with interactive and graphic procedures made available by the use of graphic work stations. This report describes the main objectives and basic hypotheses assumed in the preparation of the computation system, as well as, the system`s general architecture.
Citation Formats
di Salvatore, F, Grattieri, W, Insinga, F, Malafarina, L, Mazzoni, M, and Nicola, G.
Computer aided planning of distribution systems and connection with medium term load forecast.
Italy: N. p.,
1990.
Web.
di Salvatore, F, Grattieri, W, Insinga, F, Malafarina, L, Mazzoni, M, & Nicola, G.
Computer aided planning of distribution systems and connection with medium term load forecast.
Italy.
di Salvatore, F, Grattieri, W, Insinga, F, Malafarina, L, Mazzoni, M, and Nicola, G.
1990.
"Computer aided planning of distribution systems and connection with medium term load forecast."
Italy.
@misc{etde_10117123,
title = {Computer aided planning of distribution systems and connection with medium term load forecast}
author = {di Salvatore, F, Grattieri, W, Insinga, F, Malafarina, L, Mazzoni, M, and Nicola, G}
abstractNote = {In order to perform planning studies on HV (40-l50 kV), MV and LV networks, ENEL (Italian Electricity Board) has developed a computation system composed of a set of integrated programs which utilize the information stored in several data bases, with the aim of: providing energy consumption forecasts for each area of the country; transfering consumption for each area to the distribution network nodes and to evaluating the electric demand by using a statistical power/energy correlation model; analyzing several network development alternatives and selecting the optimum development plan by comparing the overall costs (investments, operation, risk). In order to make its utilization by planners easier, the computation system will be operated with interactive and graphic procedures made available by the use of graphic work stations. This report describes the main objectives and basic hypotheses assumed in the preparation of the computation system, as well as, the system`s general architecture.}
place = {Italy}
year = {1990}
month = {Dec}
}
title = {Computer aided planning of distribution systems and connection with medium term load forecast}
author = {di Salvatore, F, Grattieri, W, Insinga, F, Malafarina, L, Mazzoni, M, and Nicola, G}
abstractNote = {In order to perform planning studies on HV (40-l50 kV), MV and LV networks, ENEL (Italian Electricity Board) has developed a computation system composed of a set of integrated programs which utilize the information stored in several data bases, with the aim of: providing energy consumption forecasts for each area of the country; transfering consumption for each area to the distribution network nodes and to evaluating the electric demand by using a statistical power/energy correlation model; analyzing several network development alternatives and selecting the optimum development plan by comparing the overall costs (investments, operation, risk). In order to make its utilization by planners easier, the computation system will be operated with interactive and graphic procedures made available by the use of graphic work stations. This report describes the main objectives and basic hypotheses assumed in the preparation of the computation system, as well as, the system`s general architecture.}
place = {Italy}
year = {1990}
month = {Dec}
}